An Empirical Study of Gender-related Differences in Topics selection Based on We-Media Corpus

被引：0
|
作者：
Wang, Yubo [1 ]
机构：
[1] Wuhan Univ, Sch Chinese Language & Literature, Natl Inst Chinese Language Matters & Social Dev, Wuhan, Peoples R China
来源：
CHINESE LEXICAL SEMANTICS, CLSW 2016 | 2016年 / 10085卷
关键词：
Gender-related differences; We-Media corpus; Text classification; Topics selection; Quantitative study;
D O I：
10.1007/978-3-319-49508-8_65
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Our thesis aims to find out the gender-related differences in topics selection in Chinese We-Media through an extensive amount of classified blog corpus text. According to the Chinese blog corpus text, there is a statistically significant differences in topics selection between men and women. Based on the empirical study, we questioned the previous studies which suggest that men incline to choose politics and economic-related topics. We believe that in different communicative context, Men tend to change the topics accordingly, whereas women remain the same.
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页码：708 / 716
页数：9
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